DataWeGo · Den Haag, Netherlands
A data engineering and AI consulting company building AI-powered data platforms for healthcare, life sciences and enterprise innovation.
Who we are
DataWeGo is a Dutch data engineering and AI consulting company. We turn complex operational, clinical and research data into platforms people trust — and into models that change what an organisation does next.
The architect who scopes an engagement is the engineer who ships it. No account layer between you and the build, no rotation mid-project, and documentation written so your team can run the platform without us.
Our work covers the complete data lifecycle: ingestion and integration, modelling and analytics, machine learning and automation, governance, and scalable cloud deployment.
Practice areas
From the first source system to the model in production, DataWeGo covers the complete data lifecycle under one accountable engagement.
Modern lakehouse and warehouse architectures that unify clinical, operational and product data — modelled for analysts and for machines, not just dashboards.
Prediction, classification and generative assistants built on governed data — with evaluation, monitoring and human review designed in from day one.
Cloud-native architectures, APIs and integration layers that connect platforms to the systems your organisation already depends on.
The complete data lifecycle
Source systems, streams, files and clinical feeds land in a governed entry zone with lineage from the first byte.
Schema reconciliation, deduplication and identity resolution turn fragments into one reliable record.
Layered modelling and tested transformations give analysts and models the same agreed definitions.
Self-service analytics, BI and exploration sit on the governed semantic layer, not on exports.
Access policy, quality checks, privacy controls and audit trails run as code across every stage.
Models and pipelines deploy to scalable cloud environments, then get monitored, priced and improved.
Technology should not only be innovative — it should create real-world value. That belief shapes how DataWeGo scopes, builds and hands over every platform.
Reference architecture
Every engagement starts from a proven topology and is adapted to your data, your regulators and your cloud. The bands below are the ones we expect to justify to a security reviewer and to a CFO.
Where we work
Interoperability work that has to survive a privacy review: patient records harmonised across systems, study data prepared for analysis, and models that stay explainable to clinicians.
Organisations that have outgrown spreadsheets and one-off reports. We consolidate the estate, then put analytics and AI where the decisions are actually made.
How an engagement runs
We map sources, systems, constraints and the decisions the data must serve — and agree what measurable impact looks like before anything is built.
A target platform design, a governance model and a phased roadmap your security, legal and finance reviewers can sign off on.
Working slices delivered in short cycles — one data domain, one pipeline, one model, each with tests, lineage and monitoring attached.
We run it alongside your team, document it as code, then hand over — or stay on as the platform engineering function you need.
Why DataWeGo
| Principle | What it obliges us to do |
|---|---|
| Trusted engineering | Code review, tests, documented pipelines and reproducible environments. You get an asset you own, not a dependency on us. |
| AI with purpose | A model ships only against a decision someone makes, with a baseline to beat and a human review path when it is wrong. |
| Secure by design | Least-privilege access, encryption, privacy controls and audit trails specified in the architecture — not retrofitted before go-live. |
| Enterprise scale | Cloud-native, horizontally scalable designs with cost and performance budgets set at the start and tracked continuously. |
| Business-focused innovation | Every technical choice is traceable to a measurable outcome: faster decisions, lower operating cost, or new capability. |
Start a conversation
Tell us the systems involved and the decision you are trying to improve. We reply with a point of view, the nearest comparable build, and what a first phase would cost in time.